Medical Device Machine Learning

Shuang (Grace) Chang

954-***-****, ******.*****@**********.***

https://www.linkedin.com/in/shuangchang Louisville, CO. 80027

SUMMARY

Self-motivated, solution-oriented with experience managing multiple concurrent research studies in clinical spectroscopy and endoscopy imaging for cancer detection and glaucoma screening, as well as electromagnetic (EM) navigation for bronchoscopy surgical guidance. Knowledge and understanding of medical device design, quantitative data analysis, machine learning, statistical analysis, optical system modeling and simulation, and image quality assessment. Five years of experience working closely with clinical teams for early-stage medical device prototype development and documentation. Confidence in processing data of various sources and establishing effective testing protocols and automated tests of software. Strong communication and interpersonal skills with experience cultivating collaboration across teams and disciplines.

EDUCATION

VANDERBILT UNIVERSITY

Ph.D., Biomedical Engineering

Nashville, TN

2018 – May 2024

Working on development of interferometric imaging and endoscopy device for bladder cancer detection

Coursework: Advanced Image Processing; Optoelectronics; Laser Tissue Interactions; Human Anatomy and Physiology

Teaching: Two semesters teaching assistant for Quantitative Physiology for BME

Awards: RADx Tech DIVE fellowship; 2020 Constantine A. Paras Memorial Fellowship; top 10 abstract award (AUA 2022)

Member: VU SPIE student chapter; BMES; SPIE; IEEE

UNIVERSITY OF ROCHESTER

BS, Biomedical Engineering, concentration in Optics

GPA: 3.8/4.0

Rochester, NY

2014 - 2018

Graduated with Cum Laude, highest distinction

Teaching: Two semesters teaching assistant for Biostatistics

Awards: Dean’s List; Dean’s scholarship recipient; 2018 Donald M. Barnard Prize for personal qualification and achievement

SKILL SETS

Technical Skills: radiometric, spectrometric measurement and analysis; image and signal processing; optical system design and instrumentation; preclinical system evaluation; modeling and simulation; CAD (SolidWorks); phantom design and development

Programming Skills: MATLAB; Python (PyTorch, Scikit-Learn, OpenCV, Numpy, Pandas); 3D Slicer; C; LabVIEW

Software: SOLIDWORKS, ImageJ (FIJI), QuPath, Prism (statistical software), REDCap, Blender, Mendeley

PROFESSIONAL EXPERIENCE

MEDTRONIC Lafayette, CO

Student Co-Op Engineer, Surgical OU R&T Oct 2023-May 2024

Investigated new EM sensors for robotic bronchoscopy procedure, including accuracy and interference analysis with robotics

Implemented shape-sensing technologies with multiple EM sensors and created 3D visualization on a virtual bronchoscopy

Developed GUIs from APIs for physical space to image space registration, connecting hardware input to software updates

Initiated deep-learning-based EM position mapping with simulated EM field strengths to lighten computational burden

VANDERBILT UNIVERSITY

Graduate Researcher, Bowden Lab

Nashville, TN

2018-2023

Developed testing protocol and standard operating procedures for lab training, documented testing equipment and code base

Designed clinical studies and protocols, coordinated research material collection with clinical teams, navigated IRB process

Designed independent research plan and received award from the Vanderbilt Institute for Clinical and Translational Research

Assisted with grant proposal data collection and writing for NIH and CDMRP funding opportunities

Innovation and Realization Team Leader: ApolloScan - An Optical Biopsy Tool for Bladder Cancer Surveillance

Led two MBA and two JD students at Vanderbilt to develop business plans on medical device and drafted SBIR proposal

Conducted 30+ customer interviews; developed product concepts, marketing strategies; and analyzed FDA and IP issues

Submitted two invention disclosures and worked closely with Center for Technology Transfer team for patenting

RESEARCH PROJECTS

Classification of Bladder Tissues with Diagnostic Biomarkers Extracted from Multimodal Imaging Data

Worked with urologists to design, develop and validate a benchtop PS-OCT imaging system for clinical translation

Innovated novel co-registration approach for registering histology images with multimodal data for correlation analysis

Performed data processing and statistical analysis on raw interferogram, 2D and 3D imaging data of 40 patients

Extracted novel metrics from multimodal data and built classifier that improved detection specificity by 18%

Automatic Frame Enhancement for Dual Illumination Endoscopy (CYSVIEW White and Blue Light Cystoscopy)

Innovated computational correction algorithms to automatically remove major imaging artifacts from cystoscopy images

Developed automatic frame classification algorithm to extract white light and blue light frames from clinical videos

Designed quality assessment metrics and conducted quantitative and qualitative experiments on image enhancement

Conducted robust user survey studies on perceptual quality of enhanced images of bladder tumors for clinical translation

AI-empowered Digital Staining of White Light Frame for Virtual Fluorescence Cystoscopy Guidance

Innovated deep-learning-based digital staining methods to perform domain adaptation on 15,000+ cystoscopy images; applied state-of-the-art GAN architectures, U-Net-like architectures, pix2pix image translation models for style transfer

Utilized optimal transport for color distribution point cloud alignment and normalization for cystoscopy images

Assessed resulting output images with a variety of IQA metrics and developed customized metrics for output evaluation

Comparison and Advancement of Attenuation Coefficient Estimation Methods from Retinal Volumes for Glaucoma

Defined original diagnostic biomarkers from volumetric OCT retinal imaging data for early-stage glaucoma detection

Performed comparison studies on data collected from 2 research centers to evaluate efficacy of estimation algorithms

Worked with ophthalmologist for patient recruitment, data collection and interpretation, and success metrics development

LEADERSHIP

VU SPIE Student Chapter

Vice President, Seminar Coordinator, elected position

Nashville, TN

2019-2021

Organized seminars and invited high-profile speakers from research institutes and industry positions worldwide

Partnered up with multiple Vanderbilt student organizations, planned and executed outreach programs

Spearheaded efforts to increase organization exposure through managing social media accounts and biweekly newsletters

SELECTED PUBLICATION

Chang et al., “Label-Free Optical Technologies to Enhance Non-Invasive Endoscopic Imaging of Early-Stage Cancers,” Annual Review Analytical Chemistry. (Manuscript accepted to be published in May 2024)

Chang et al., “Low-Cost, Label-Free Blue Light Cystoscopy through Digital Staining of White Light Cystoscopy Videos”, medRxiv, (2024).

Chang et al., “Enhancing the Image Quality of Blue Light Cystoscopy through Green-hue Correction and Fogginess Removal”, Sci Rep 13, 21484 (2023).

Chang et al., “Multiparameter Interferometric Polarization-Enhanced (MultiPIPE) Imaging Differentiates Carcinoma In Situ from Inflammation of the Bladder,” J Biomed Opt. 2023 Oct;28(10):102907. (2023)

Chang et al., “Bringing blue light cystoscopy to the office: digital staining on matched white and blue light cystoscopy videos,” Proc. SPIE PC12368, Advanced Biomedical and Clinical Diagnostic and Surgical Guidance Systems XXI, PC1236839

Chang et al., “Automatic frame classification and enhancement for CYSVIEW cystoscopy video,” Proc. SPIE PC12353, Advanced Photonics in Urology 2023, PC1235216

Chang et al., “Depth-resolved extraction of optical attenuation for glaucoma assessment in clinical settings: a pilot study” Biomedical Optics Express 13 (8), 4326-4377 (2022)

Chang et al., “Birefringent tissue-mimicking phantom for polarization-sensitive optical coherence tomography imaging,” J. Biomed. Opt. 27(7), 074711 (2022)

Shuang Chang, Audrey K. Bowden, “Review of methods and applications of attenuation coefficient measurements with optical coherence tomography,” J. Biomed. Opt. 24(9) 090901 (2019)

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